Validating Genesys Cloud Media Recording Segments with Python SDK
What You Will Build
A Python service that retrieves recording segment metadata, validates constraints against maximumSegmentDuration and format limits, verifies encryption and PII redaction status, performs atomic integrity checks via HTTP GET, and generates audit logs with latency tracking. It uses the Genesys Cloud Media API via the official Python SDK. It is written in Python 3.10+ using genesys-cloud-python-sdk and httpx.
Prerequisites
- OAuth 2.0 Client Credentials flow configured in Genesys Cloud
- Required OAuth scope:
media:read - Python 3.10 or higher
- SDK:
genesys-cloud-python-sdk>=2.4.0 - HTTP client:
httpx>=0.25.0 - Data validation:
pydantic>=2.0 - Logging:
structlogor standardloggingmodule
Authentication Setup
The Genesys Cloud Python SDK handles OAuth token acquisition and caching automatically when configured correctly. You must initialize the PlatformClient with your environment, client ID, and client secret. The SDK caches the access token and automatically refreshes it before expiration.
from purecloud_platform_client_v2 import PlatformClient, Configuration
from purecloud_platform_client_v2.rest import ApiException
def create_genesys_client(environment: str = "mypurecloud.com",
client_id: str = "",
client_secret: str = "") -> PlatformClient:
"""Initialize the Genesys Cloud SDK client with OAuth credentials."""
if not client_id or not client_secret:
raise ValueError("Client ID and Client Secret are required for authentication.")
config = Configuration()
config.set_environment(environment)
config.client_id = client_id
config.client_secret = client_secret
client = PlatformClient(config)
# Trigger initial token fetch to verify credentials
try:
client.oauth_client.get_token()
print("OAuth authentication successful. Token cached.")
except ApiException as e:
raise RuntimeError(f"Authentication failed with status {e.status}: {e.reason}") from e
return client
The OAuth scope media:read is required for all subsequent media and segment operations. The SDK attaches the bearer token automatically to every request.
Implementation
Step 1: Fetch Media and Segment Metadata with Pagination
The Media API returns segment lists with pagination. You must handle the nextPageUri or iterate through divisionId and pageSize parameters. This step retrieves the segment-ref (segment ID), media-matrix (constraints), and prepares the check directive payload.
from purecloud_platform_client_v2 import PlatformClient
from purecloud_platform_client_v2.rest import ApiException
from typing import List, Dict, Any
def fetch_all_segments(client: PlatformClient, media_id: str) -> List[Dict[str, Any]]:
"""Retrieve all segments for a media object with pagination handling."""
all_segments = []
page_size = 250
page_number = 1
while True:
try:
# GET /api/v2/media/{mediaId}/segments
response = client.media.get_media_segments(
media_id=media_id,
page_size=page_size,
page_number=page_number
)
if not response.entities:
break
all_segments.extend(response.entities)
# Check if more pages exist
if response.page_number * response.page_size >= response.total:
break
page_number += 1
except ApiException as e:
if e.status == 429:
print("Rate limited. Implement exponential backoff in production.")
# In production, use a retry decorator here
break
elif e.status == 404:
raise RuntimeError(f"Media object {media_id} not found.") from e
else:
raise RuntimeError(f"Failed to fetch segments: {e.reason}") from e
return all_segments
The get_media_segments call requires media:read. The response contains segmentId, duration, format, encryptionStatus, and piiRedactionStatus. You will use these fields to construct your validation directives.
Step 2: Validate Schema Constraints and Maximum Segment Duration Limits
Genesys Cloud enforces maximumSegmentDuration based on the recording policy. You must validate the actual segment duration against this limit to prevent storage failures and playback errors during scaling events.
from datetime import timedelta
import logging
logger = logging.getLogger(__name__)
def validate_segment_constraints(media_id: str, segments: List[Dict[str, Any]],
max_duration_seconds: int = 3600) -> Dict[str, Any]:
"""Validate segment duration against media-constraints and maximum-segment-duration limits."""
validation_result = {
"media_id": media_id,
"total_segments": len(segments),
"valid_segments": 0,
"invalid_segments": [],
"constraints_met": True
}
for segment in segments:
segment_id = segment.get("segmentId")
duration = segment.get("duration", 0)
# Convert duration if provided in ISO 8601 format (e.g., PT1H30M)
if isinstance(duration, str) and duration.startswith("PT"):
try:
from isodate import parse_duration
duration_seconds = parse_duration(duration).total_seconds()
except Exception:
duration_seconds = 0
else:
duration_seconds = float(duration) if duration else 0
if duration_seconds > max_duration_seconds:
validation_result["invalid_segments"].append({
"segment_id": segment_id,
"reason": "Exceeds maximum-segment-duration limit",
"actual_duration": duration_seconds
})
validation_result["constraints_met"] = False
logger.warning(f"Segment {segment_id} exceeds duration limit: {duration_seconds}s > {max_duration_seconds}s")
else:
validation_result["valid_segments"] += 1
return validation_result
This function implements the check directive logic. It flags segments that violate the maximumSegmentDuration constraint. You must adjust max_duration_seconds based on your organization recording policy.
Step 3: Verify Encryption, PII Redaction and Format Integrity
The media-matrix includes encryptionStatus and piiRedactionStatus. You must verify these fields before proceeding to download or external storage synchronization. Corrupted headers or mismatched formats cause playback failures.
def verify_compliance_fields(media_id: str, segments: List[Dict[str, Any]],
allowed_formats: List[str] = ["wav", "mp3", "mp4"]) -> Dict[str, Any]:
"""Verify encryption-verification evaluation and pii-redaction verification pipelines."""
compliance_report = {
"media_id": media_id,
"encryption_verified": True,
"pii_redaction_verified": True,
"format_verified": True,
"flags": []
}
for segment in segments:
segment_id = segment.get("segmentId")
encryption_status = segment.get("encryptionStatus", "").lower()
pii_status = segment.get("piiRedactionStatus", "").lower()
fmt = segment.get("format", "").lower()
# Encryption verification
if encryption_status not in ("encrypted", "unencrypted"):
compliance_report["encryption_verified"] = False
compliance_report["flags"].append({
"segment_id": segment_id,
"type": "encryption_verification_failed",
"value": encryption_status
})
# PII redaction verification
if pii_status == "not_started" and segment.get("piiRedactionRequired", False):
compliance_report["pii_redaction_verified"] = False
compliance_report["flags"].append({
"segment_id": segment_id,
"type": "pii_redaction_pending",
"value": pii_status
})
# Format verification
if fmt not in allowed_formats:
compliance_report["format_verified"] = False
compliance_report["flags"].append({
"segment_id": segment_id,
"type": "format_mismatch",
"value": fmt
})
return compliance_report
The function evaluates the encryption-verification and pii-redaction pipelines. It returns a structured report that you can use to trigger automatic flag triggers for safe check iteration.
Step 4: Atomic HTTP GET Operations for Audio Integrity Calculation
The SDK does not expose raw HTTP response headers for segment downloads. You must use httpx to perform an atomic GET request to the segment download URL. This validates content length, MIME type, and calculates audio integrity.
import httpx
import hashlib
import time
from typing import Tuple
def validate_segment_integrity(client: PlatformClient, media_id: str,
segment_id: str) -> Dict[str, Any]:
"""Perform atomic HTTP GET operations with format verification and integrity calculation."""
# Construct the download URL manually for atomic GET validation
base_url = f"https://api.{client.configuration.host}/api/v2/media/{media_id}/segments/{segment_id}/download"
headers = {
"Authorization": f"Bearer {client.oauth_client.access_token}",
"Accept": "audio/wav,audio/mp3,audio/mp4,application/octet-stream"
}
start_time = time.perf_counter()
response_data = {
"segment_id": segment_id,
"status_code": 0,
"content_length": 0,
"content_type": "",
"md5_hash": "",
"latency_ms": 0,
"integrity_valid": False
}
try:
with httpx.Client(timeout=30.0) as http_client:
resp = http_client.get(base_url, headers=headers, follow_redirects=True)
response_data["status_code"] = resp.status_code
response_data["content_type"] = resp.headers.get("Content-Type", "unknown")
response_data["content_length"] = int(resp.headers.get("Content-Length", 0))
# Calculate audio-integrity via MD5
md5_hash = hashlib.md5(resp.content).hexdigest()
response_data["md5_hash"] = md5_hash
# Validate format against content-type
if "audio" in resp.headers.get("Content-Type", "") or resp.status_code == 200:
response_data["integrity_valid"] = True
else:
response_data["integrity_valid"] = False
end_time = time.perf_counter()
response_data["latency_ms"] = round((end_time - start_time) * 1000, 2)
if resp.status_code == 429:
raise httpx.HTTPStatusError("Rate limited", request=resp.request, response=resp)
resp.raise_for_status()
except httpx.HTTPStatusError as e:
if e.response.status_code == 429:
print("429 Rate limit hit during integrity check. Apply retry logic.")
elif e.response.status_code == 401:
print("Token expired. Refresh OAuth token and retry.")
else:
print(f"HTTP error during integrity check: {e.response.status_code}")
except Exception as e:
print(f"Integrity check failed: {str(e)}")
return response_data
This function implements the atomic HTTP GET operations with format verification requirement. It calculates latency, validates headers, and computes an integrity hash. You must handle 429 responses with exponential backoff in production.
Step 5: Webhook Sync, Audit Logging and Metrics Tracking
You must synchronize validating events with external storage via segment flagged webhooks. This step generates audit logs for media governance and tracks check success rates.
import json
from datetime import datetime, timezone
def generate_audit_and_sync(segment_id: str, validation_result: Dict,
integrity_result: Dict, compliance_report: Dict) -> str:
"""Generate validating audit logs and prepare webhook payload for external-storage alignment."""
audit_entry = {
"timestamp": datetime.now(timezone.utc).isoformat(),
"segment_ref": segment_id,
"validation_directive": {
"constraints_met": validation_result.get("constraints_met", False),
"compliance_verified": (
compliance_report.get("encryption_verified", False) and
compliance_report.get("pii_redaction_verified", False) and
compliance_report.get("format_verified", False)
),
"integrity_check": integrity_result.get("integrity_valid", False),
"latency_ms": integrity_result.get("latency_ms", 0),
"flags": compliance_report.get("flags", [])
},
"webhook_sync_target": "external-storage-bucket",
"status": "PASS" if (
validation_result.get("constraints_met") and
compliance_report.get("encryption_verified") and
compliance_report.get("pii_redaction_verified") and
integrity_result.get("integrity_valid")
) else "FAIL"
}
# In production, POST this payload to your webhook endpoint or message queue
# Example: requests.post(WEBHOOK_URL, json=audit_entry, headers={"Authorization": "Bearer ..."})
return json.dumps(audit_entry, indent=2)
This function consolidates the validation results into a structured audit log. It flags segments for external storage synchronization and tracks latency and success rates for validate efficiency.
Complete Working Example
The following script combines all components into a production-ready segment validator. It handles authentication, pagination, constraint validation, compliance verification, atomic integrity checks, and audit logging.
import os
import logging
import httpx
import hashlib
import time
import json
from datetime import datetime, timezone
from typing import List, Dict, Any
from purecloud_platform_client_v2 import PlatformClient, Configuration
from purecloud_platform_client_v2.rest import ApiException
logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s")
logger = logging.getLogger(__name__)
class GenesysMediaSegmentValidator:
def __init__(self, environment: str, client_id: str, client_secret: str):
self.environment = environment
self.client = self._initialize_client(client_id, client_secret)
self.allowed_formats = ["wav", "mp3", "mp4"]
self.max_duration_seconds = 3600
def _initialize_client(self, client_id: str, client_secret: str) -> PlatformClient:
config = Configuration()
config.set_environment(self.environment)
config.client_id = client_id
config.client_secret = client_secret
client = PlatformClient(config)
try:
client.oauth_client.get_token()
except ApiException as e:
raise RuntimeError(f"Authentication failed: {e.reason}") from e
return client
def validate_media_segments(self, media_id: str) -> List[Dict[str, Any]]:
logger.info(f"Starting validation for media {media_id}")
segments = self._fetch_segments(media_id)
if not segments:
logger.warning(f"No segments found for media {media_id}")
return []
validation_result = self._validate_constraints(media_id, segments)
compliance_report = self._verify_compliance(media_id, segments)
audit_logs = []
for segment in segments:
segment_id = segment["segmentId"]
integrity = self._check_integrity(media_id, segment_id)
audit = self._generate_audit(segment_id, validation_result, integrity, compliance_report)
audit_logs.append(audit)
logger.info(f"Validation complete for media {media_id}. Processed {len(segments)} segments.")
return audit_logs
def _fetch_segments(self, media_id: str) -> List[Dict[str, Any]]:
all_segments = []
page_number = 1
while True:
try:
resp = self.client.media.get_media_segments(media_id, page_size=250, page_number=page_number)
if not resp.entities:
break
all_segments.extend(resp.entities)
if resp.page_number * resp.page_size >= resp.total:
break
page_number += 1
except ApiException as e:
if e.status == 429:
logger.warning("Rate limited during segment fetch. Retrying in 5s.")
time.sleep(5)
continue
raise
return all_segments
def _validate_constraints(self, media_id: str, segments: List[Dict[str, Any]]) -> Dict[str, Any]:
result = {"media_id": media_id, "constraints_met": True, "invalid_segments": []}
for seg in segments:
dur = float(seg.get("duration", 0))
if dur > self.max_duration_seconds:
result["constraints_met"] = False
result["invalid_segments"].append(seg["segmentId"])
return result
def _verify_compliance(self, media_id: str, segments: List[Dict[str, Any]]) -> Dict[str, Any]:
report = {"media_id": media_id, "encryption_verified": True, "pii_redaction_verified": True, "flags": []}
for seg in segments:
if seg.get("encryptionStatus", "").lower() not in ("encrypted", "unencrypted"):
report["encryption_verified"] = False
report["flags"].append({"segment_id": seg["segmentId"], "type": "encryption_failed"})
if seg.get("piiRedactionStatus", "").lower() == "not_started":
report["pii_redaction_verified"] = False
report["flags"].append({"segment_id": seg["segmentId"], "type": "pii_pending"})
return report
def _check_integrity(self, media_id: str, segment_id: str) -> Dict[str, Any]:
url = f"https://api.{self.environment}/api/v2/media/{media_id}/segments/{segment_id}/download"
headers = {"Authorization": f"Bearer {self.client.oauth_client.access_token}"}
start = time.perf_counter()
integrity = {"segment_id": segment_id, "valid": False, "latency_ms": 0, "status": 0}
try:
with httpx.Client(timeout=30.0) as http:
r = http.get(url, headers=headers, follow_redirects=True)
integrity["status"] = r.status_code
integrity["valid"] = r.status_code == 200 and "audio" in r.headers.get("Content-Type", "")
integrity["latency_ms"] = round((time.perf_counter() - start) * 1000, 2)
if r.status_code == 429:
logger.warning("429 during integrity check. Apply backoff.")
except Exception as e:
logger.error(f"Integrity check failed: {e}")
return integrity
def _generate_audit(self, segment_id: str, constraints: Dict, integrity: Dict, compliance: Dict) -> str:
status = "PASS" if (
constraints["constraints_met"] and
compliance["encryption_verified"] and
compliance["pii_redaction_verified"] and
integrity["valid"]
) else "FAIL"
audit = {
"timestamp": datetime.now(timezone.utc).isoformat(),
"segment_ref": segment_id,
"status": status,
"latency_ms": integrity["latency_ms"],
"flags": compliance.get("flags", []),
"webhook_sync": "external-storage"
}
return json.dumps(audit)
if __name__ == "__main__":
ENV = os.getenv("GENESYS_ENV", "mypurecloud.com")
CLIENT_ID = os.getenv("GENESYS_CLIENT_ID")
CLIENT_SECRET = os.getenv("GENESYS_CLIENT_SECRET")
MEDIA_ID = os.getenv("GENESYS_MEDIA_ID", "your-media-id-here")
if not all([CLIENT_ID, CLIENT_SECRET, MEDIA_ID]):
raise ValueError("Missing required environment variables: GENESYS_CLIENT_ID, GENESYS_CLIENT_SECRET, GENESYS_MEDIA_ID")
validator = GenesysMediaSegmentValidator(ENV, CLIENT_ID, CLIENT_SECRET)
results = validator.validate_media_segments(MEDIA_ID)
for log in results:
print(log)
Common Errors & Debugging
Error: 401 Unauthorized
- What causes it: The OAuth token expired, the client credentials are incorrect, or the scope
media:readis missing from the OAuth client configuration. - How to fix it: Verify your client ID and secret in the Genesys Cloud admin console. Ensure the OAuth client has the
media:readscope assigned. The SDK caches tokens automatically, but you must callclient.oauth_client.get_token()if you suspect expiration. - Code showing the fix:
try:
self.client.oauth_client.get_token()
except ApiException as e:
if e.status == 401:
logger.error("Token invalid or expired. Refreshing credentials.")
raise RuntimeError("Authentication failed. Check client credentials and scope.") from e
Error: 403 Forbidden
- What causes it: The authenticated user or service account lacks division-level permissions to access the media object. Genesys Cloud enforces strict division boundaries.
- How to fix it: Assign the service account to the same division as the recording, or grant
media:readat the global level. Verify thedivisionIdmatches your request context. - Code showing the fix:
# Explicitly pass divisionId if known
resp = self.client.media.get_media_segments(media_id, division_id="your-division-id", page_size=250, page_number=1)
Error: 429 Too Many Requests
- What causes it: You exceeded the Genesys Cloud API rate limit for media endpoints. This occurs during bulk validation or scaling events.
- How to fix it: Implement exponential backoff with jitter. The SDK does not retry automatically. Wrap HTTP calls in a retry loop.
- Code showing the fix:
import time
def retry_on_429(func, *args, max_retries=3, **kwargs):
for attempt in range(max_retries):
try:
return func(*args, **kwargs)
except (ApiException, httpx.HTTPStatusError) as e:
if getattr(e, 'status', None) == 429 or (hasattr(e, 'response') and e.response.status_code == 429):
wait_time = (2 ** attempt) + (hash(str(time.time())) % 1000) / 1000.0
logger.warning(f"429 detected. Retrying in {wait_time:.2f}s")
time.sleep(wait_time)
else:
raise
raise RuntimeError("Max retries exceeded for 429 rate limit.")
Error: Integrity Check Fails (Corrupted Header)
- What causes it: The segment download returns a mismatched
Content-Type, empty body, or truncated stream. This indicates a corrupted recording or storage sync failure. - How to fix it: Verify the
Content-Lengthheader matches the actual payload size. Check theencryptionStatusfield. If encryption is enabled, ensure your download endpoint supports encrypted media retrieval. - Code showing the fix:
if r.status_code == 200:
expected_len = int(r.headers.get("Content-Length", 0))
actual_len = len(r.content)
if expected_len > 0 and expected_len != actual_len:
logger.error(f"Header mismatch for {segment_id}: expected {expected_len}, got {actual_len}")
integrity["valid"] = False